Staff Data Engineer

We are looking for a Staff Data Engineer with deep expertise in Big Data technologies observability systems and real-time data streaming frameworks to drive the design and scalability of our next-generation data infrastructure. The ideal candidate will be a hands-on technologist who can architect high-throughput data pipelines ensure observability and performance and mentor teams on data engineering best practices.
This role combines technical leadership system design and innovation in building data-driven and observable platforms that support analytics monitoring and AI initiatives across the organization.

What you get to do in this role:

• Data Architecture & Engineering: Design develop and optimize large-scale data pipelines to support high-volume low-latency data processing.
• Real-Time Streaming: Build and maintain real-time data pipelines using Apache Spark (Structured Streaming) Apache Flink and Apache Kafka for data ingestion and event-driven processing.
• Big Data Platforms: Work with modern Big Data ecosystems such as Hadoop Hive HBase Delta Lake Iceberg or Databricks for large-scale data management and analytics.
• Observability & Telemetry: Design data collection and processing workflows for logs metrics and traces from observability systems like Prometheus Grafana Splunk Elastic or OpenTelemetry.
• Performance & Scalability: Ensure data systems are optimized for scalability resilience and cost efficiency under large and diverse workloads.
• Data Quality & Governance: Implement data validation schema governance and metadata management across the data lifecycle.
• Programming & Automation: Develop robust reusable code and automation using Python Java Scala or Go to enhance reliability and maintainability.
• Cross-Team Collaboration: Partner with platform AI and analytics teams to design data models and streaming architectures supporting predictive and real-time insights.
• Innovation: Explore and prototype AI/ML-driven observability or anomaly detection capabilities to enhance platform intelligence.
• Mentorship: Guide junior engineers in best practices for data architecture streaming and observability.

Qualifications :

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
• 10 years of professional experience in data engineering distributed systems or large-scale data processing.
• Hands-on experience with real-time streaming frameworks such as Apache Spark (Structured Streaming) Apache Flink and Apache Kafka.
• Hands-on experience with one programming language Java Python or Scala.
• Proven background in Big Data technologies (HDFS Hive Impala similar).
• Strong understanding of observability data (logs metrics traces) and integration with monitoring platforms such as Prometheus Grafana or Splunk.
• Experience with cloud-native data services (AWS Azure or GCP) for data storage streaming and orchestration.
• Solid knowledge of ETL design data modeling and performance tuning.
• Familiarity with schema governance data quality frameworks and CI/CD for data workflows.
• Good to have: Exposure to AI/ML concepts particularly anomaly detection predictive analytics or intelligent observability.
• Strong communication and leadership skills with a track record of influencing cross-functional teams.

FD21

Additional Information :

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

No

Employment Type :

Full-time